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Analyzing heterogeneity in the effects of physical activity in children on social network structure and peer selection dynamics

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  • HENRY, TEAGUE
  • GESELL, SABINA B.
  • IP, EDWARD H.

Abstract

Social networks influence children and adolescents' physical activity. The focus of this paper is to examine the differences in the effects of physical activity on friendship selection, with eye to the implications on physical activity interventions for young children. Prior to implementing a network intervention in the field, it is important to understand potential heterogeneities in the effects that activity level have on network structure. In this study, the associations between activity level and cross-sectional network structure, and activity level and change in network structure are assessed. We studied a real-world friendship network among 81 children (average age 7.96 years) who lived in low SES neighborhoods, attended public schools, and attended one of two structured aftercare programs, of which one has existed and the other was new. We modeled network selection effects and cross-sectional properties, while accounting for potential heterogeneities between networks. There was heterogeneity in the effect of physical activity on both cross-sectional network structure and the formation and dissolution processes, both across time and between networks. This suggests that if peer selection processes are changing within a network, a static network intervention strategy for childhood physical activity could become inefficient as the network evolves.

Suggested Citation

  • Henry, Teague & Gesell, Sabina B. & Ip, Edward H., 2016. "Analyzing heterogeneity in the effects of physical activity in children on social network structure and peer selection dynamics," Network Science, Cambridge University Press, vol. 4(3), pages 336-363, September.
  • Handle: RePEc:cup:netsci:v:4:y:2016:i:03:p:336-363_00
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    Cited by:

    1. Tarun Jain & Nishtha Langer, 2019. "Does Whom You Know Matter? Unraveling The Influence Of Peers' Network Attributes On Academic Performance," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 141-161, January.
    2. Ruth Salway & Lydia Emm-Collison & Simon J. Sebire & Janice L. Thompson & Deborah A. Lawlor & Russell Jago, 2019. "A Multilevel Analysis of Neighbourhood, School, Friend and Individual-Level Variation in Primary School Children’s Physical Activity," IJERPH, MDPI, vol. 16(24), pages 1-16, December.
    3. He, Xi-jun & Dong, Yan-bo & Wu, Yu-ying & Jiang, Guo-rui & Zheng, Yao, 2019. "Factors affecting evolution of the interprovincial technology patent trade networks in China based on exponential random graph models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 443-457.
    4. Ana M. Guerra & Felipe Montes & Andrés F. Useche & Ana María Jaramillo & Silvia A. González & Jose D. Meisel & Catalina Obando & Valentina Cardozo & Ruth F. Hunter & Olga L. Sarmiento, 2020. "Effects of a Physical Activity Program Potentiated with ICTs on the Formation and Dissolution of Friendship Networks of Children in a Middle-Income Country," IJERPH, MDPI, vol. 17(16), pages 1-21, August.
    5. Tyler Prochnow & Meg Patterson & M. Renée Umstattd Meyer & Joseph Lightner & Luis Gomez & Joseph Sharkey, 2022. "Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use," IJERPH, MDPI, vol. 19(18), pages 1-16, September.

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